DocumentCode
2484879
Title
Off-Line Chinese Signature Verification: Using Weighting Factor on Similarity Computation
Author
Ji Jun-wen ; Chen Chuan-bo ; Chen Xiao-su
Author_Institution
Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
4
Abstract
In this paper we present a new method for off-line Chinese signature verification. The approach is based on feature extraction of every segment segmented from the signature image. A signature image is segmented to some segments. Every segment is represented by a set of seven features, because each type feature has a different impact for the signature verification, each type weighting factor is very import for the Similarity Computation of the off-line Chinese signature verification. Experimental results show a appropriate weight of the features is promising to distinguish skilled forgeries from genuine signatures effectively.
Keywords
feature extraction; handwriting recognition; feature extraction; forgeries; offline Chinese signature verification; signature image; similarity computation; type weighting factor; Acceleration; Computer science; Educational institutions; Feature extraction; Forgery; Handwriting recognition; Image segmentation; Skeleton; Spatial databases; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Business and Information System Security (EBISS), 2010 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5893-6
Electronic_ISBN
978-1-4244-5895-0
Type
conf
DOI
10.1109/EBISS.2010.5473588
Filename
5473588
Link To Document